Metadata-Version: 2.1
Name: epispot-nightly
Version: 2.1.1.9
Summary: The nightly version of the epispot package.
Home-page: https://epispot.github.io
Author: quantum9innovation
License: UNKNOWN
Project-URL: Repository, https://github.com/epispot/epispot
Project-URL: Changelog, https://github.com/epispot/epispot/tree/master/CHANGELOG.md
Project-URL: Bug Tracker, https://github.com/epispot/epispot/issues
Project-URL: Documentation, https://epispot.github.io/epispot
Project-URL: Code Coverage, https://app.codecov.io/gh/epispot/epispot
Description: # ![epi-spot](https://i.ibb.co/m9yS1yh/epispot-nightly.jpg)
        ![build](https://img.shields.io/badge/build-nightly-black)
        ![latest-release](https://shields.mitmproxy.org/pypi/v/epispot-nightly.svg?color=success)
        [![Downloads](https://pepy.tech/badge/epispot-nightly)](https://pepy.tech/project/epispot-nightly)
        ![build-status](https://github.com/epispot/epispot/workflows/build/badge.svg?branch=nightly)
        ![open-issues](https://img.shields.io/github/issues-search/epispot/epispot?color=red&label=Open%20Issues&query=is%3Aopen%20label%3Anightly)
        [![codecov](https://codecov.io/gh/epispot/epispot/branch/nightly/graph/badge.svg?token=WGIM127RFY)](https://codecov.io/gh/epispot/epispot)
        
        <br>
        
        A tool for creating and testing epidemiological models faster than ever for the mathematical modeling of infectious 
        diseases. An idea from https://github.com/henrifroese/infectious_disease_modelling.
        
        > **This is a nightly build of epispot. Releases may contain unstable code and issues are to be expected.\
        > Additionally, code within this branch may be deprecated at any time.\
        > See the official stable build and all its features [here](https://pypi.org/project/epispot/)**
        
        <br>
        
        ## Installation
        
        Epispot nightly can _only_ be installed on pip at this time.
        Install with:
        ```shell
        pip install epispot-nightly
        ```
        As a shorthand, use `import epispot as epi`.
        Both nightly and stable packages cannot be used at the same time in the same file.
        To ensure that you are using the latest version, run the following command regularly*:\
        ```shell
        pip install epispot-nightly --upgrade
        ```
        
        *updates are published after every commit (~1/day)\
        See [CHANGELOG.md](https://www.github.com/epispot/epispot/tree/nightly/CHANGELOG.md)
        for detailed update information
        
        ## Getting Started
        
        Make sure you are already familiar with [epispot](https://www.pypi.org/project/epispot).
        If not, checkout the [tests/ directory](https://www.github.com/epispot/epispot/tree/nightly/tests)
        for hands-on examples.
        You can view the new functions and changes by using the built-in Python `help()` command.
        Epispot docs are located [here](https://epispot.github.io/epispot).
        
        ## Stay one step ahead
        ### And preview the latest features
        Documentation can easily be accessed from function, class, and file docstrings.
        Doc strings provide additional documentation on a certain function.
        They can be accessed by the built-in Python `help()` command.
        These strings are formatted in Github-flavored markdown.
        Additionally, all files will have a 'STRUCTURE' label.
        
        ## Thanks to all contributors
        <a href="https://github.com/epispot/epispot/graphs/contributors">
          <img src="https://contrib.rocks/image?repo=epispot/epispot" />
        </a>
        
        Made with [contributors-img](https://contrib.rocks).
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.7
Description-Content-Type: text/markdown
